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The idea of 'a machine that thinks' dates back to ancient Greece. But since the advent of electronic computing (and relative to some of the topics discussed in this article) important events and milestones in the evolution of artificial intelligence include the following: 1950: Alan Turing publishes Computing Machinery and Intelligence. In the paper, Turing—famous for breaking the Nazi's ENIGMA code during WWII—proposes to answer the question 'can machines think?' and introduces the Turing Test to determine if a computer can demonstrate the same intelligence (or the results of the same intelligence) as a human. The value of the Turing test has been debated ever since. 1956: John McCarthy coins the term 'artificial intelligence' at the first-ever AI conference at Dartmouth College. (McCarthy would go on to invent the Lisp language.) Later that year, Allen Newell, J.C. Shaw, and Herbert Simon create the Logic Theorist, the first-ever running AI software program. 1967: Frank Rosenblatt builds the Mark 1 Perceptron, the first computer based on a neural network that 'learned' though trial and error. Just a year later, Marvin Minsky and Seymour Papert publish a book titled Perceptrons, which becomes both the landmark work on neural networks and, at least for a while, an argument against future neural network research projects. 1980s: Neural networks which use a backpropagation algorithm to train itself become widely used in AI applications. 1997: IBM's Deep Blue beats then world chess champion Garry Kasparov, in a chess match (and rematch). 2011: IBM Watson beats champions Ken Jennings and Brad Rutter at Jeopardy! 2015: Baidu's Minwa supercomputer uses a special kind of deep neural network called a convolutional neural network to identify and categorize images with a higher rate of accuracy than the average human. 2016: DeepMind's AlphaGo program, powered by a deep neural network, beats Lee Sodol, the world champion Go player, in a five-game match. The victory is significant given the huge number of possible moves as the game progresses (over 14.5 trillion after just four moves!). Later, Google purchased DeepMind for a reported USD 400 million.
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# ¿ Mar 22, 2023 10:12 |
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post hole digger posted:i thought about posting this thread last week but decided against it. good luck goon. thank you
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Truman Peyote posted:i would like to hear more about the idea of a machine that thinks as theorized by the ancient greeks, op ever heard of a golem?
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im glad you can finally make a friend op ![]()
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The Management posted:put another way, they are good at emulating language. they are not capable of emulating thought. https://forums.somethingawful.com/showthread.php?threadid=4018633 ???
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rotor posted:i mean like 10 years ago if someone had told me I'd be able to say "produce an image of galdalf riding a giant duck in the style of vincent van gogh" and it would produce such an image I'd have said you were nuts. "given the immense fiscal rewards for making a car that drives itself, i don't see how we won't see something like that in 10 years" - many people, 10 years ago
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rotor posted:if a corporation had the programmer equivalent of Tesla FSD in 10 years they will absolutely be shoving that crap into production as fast as they could im just saying that some of the things that seem doable end up being really hard, and other things that seem hard end up doable. maybe copilot 3000 wont end up being good enough to make a real dent
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i prefer my bits to be handcrafted with care
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shithub slowpilot
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wasnt outsourcing programming to india etc supposed to do something similar? did it?
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i mean honestly, how often are things completely invented from the ground up? mashing together existing things in new combinations is probably most of originality anyway
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rotor posted:most of the big money makers in the tech world have not made all their money because of their unique code. interesting placement of negatives in this sentence structure
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Beeftweeter posted:true enough, and like i said, that's probably good enough for most thats why they pay you to crack the tough nuts
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an ai that makes a function or set of functions for u that adheres to a single type signature u gave it. ftw
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MoneyWatch AI-powered "robot" lawyer will be first of its kind to represent defendant in court moneywatch By Megan Cerullo January 9, 2023 / 5:38 PM / MoneyWatch A "robot" lawyer powered by artificial intelligence will be the first of its kind to help a defendant fight a traffic ticket in court next month. Joshua Browder, CEO of DoNotPay, said the company's AI-creation runs on a smartphone, listens to court arguments and formulates responses for the defendant. The AI lawyer tells the defendant what to say in real-time, through headphones. The artificial intelligence firm has already used AI-generated form letters and chatbots to help people secure refunds for in-flight Wifi that didn't work, as well as to lower bills and dispute parking tickets, among other issues, according to Browder. All told the company has relied on these AI templates to win more than 2 million customer service disputes and court cases on behalf of individuals against institutions and organizations, he added. It has raised $27.7 million from tech-focused venture capital firms, including Andreessen Horowitz and Crew Capital. "In the past year, AI tech has really developed and allowed us to go back and forth in real time with corporations and governments," he told CBS MoneyWatch of recent advances. "We spoke live [with companies and customer service reps] to lower bills with companies; and what we're doing next month is try to use the tech in a courtroom for the first time." If the robot lawyer loses the case, DoNotPay will cover any fines, Browder said. Browder declined to disclose the name of the client and the court. Legal in some, but not most courtrooms Some courts allow defendants to wear hearing aids, some versions of which are bluetooth-enabled. That's how Browder determined that DoNotPay's technology can legally be used in this case. However, the tech isn't legal in most courtrooms. Some states require that all parties consent to be recorded, which rules out the possibility of a robot lawyer entering many courtrooms. Of the 300 cases DoNotPay considered for a trial of its robot lawyer, only two were feasible. "It's within the letter of the law, but I don't think anyone could ever imagine this would happen," Browder said. "It's not in the spirit of law, but we're trying to push things forward and a lot of people can't afford legal help. If these cases are successful, it will encourage more courts to change their rules." Lawyers "would not support this" The ultimate goal, according to Browder, is to democratize legal representation by making it free for those who can't afford it, in some cases eliminating the need for pricey attorneys. But given that the technology is illegal in many courtrooms, he doesn't expect to be able to commercialize the product any time soon. "This courtroom stuff is more advocacy," he said. "It's more to encourage the system to change," Browder explained. He is well aware of the challenge and hurdles on the horizon. When he tweeted about demoing DoNotPay's robot lawyer in court, lawyers threatened him and told him he'd be sent to jail, he told CBS MoneyWatch. "There are a lot of lawyers and bar associations that would not support this," Browder said. Putting ChatGPT through law school Browder wants to arm individuals with the same tools that large corporations can typically access, but are out of reach for those without deep resources. "What we are trying to do is automate consumer rights," Browder said. "New technologies typically fall into the hands of big companies first, and our goal is put it in hands of the people first." AI-powered chatbot ChatGPT has exploded in popularity recently for its ability to spit out coherent essays on wide-ranging topics in under one minute. The technology has drawn interest from investors, with the Wall Street Journal reporting that parent company OpenAI could soon attract investments valuing it at $29 billion. Princeton student says his new app helps teachers find ChatGPT cheats But Browder highlighted its shortcomings and in some cases, lack of sophistication. "ChatGPT is very good at holding conversations, but it's terrible at knowing the law. We've had to retrain these AIs to know the law," Browder said. "AI is a high school student, and we're sending it to law school."
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echinopsis posted:great thread fart simp thank you 🙏🙏🙏🙏
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are octopuses smart enough to qualify as ai?
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# ¿ Mar 22, 2023 10:12 |
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Shaggar posted:ime teams realtime transcripts work really well for people without accents like myself, but given the way our meetings go i'd be amazed if it could generate enough context for usable summation i think its bytedance maybe? or tencent, i forget which. but it has a realtime transcript feature in their teams clone that works pretty well on both mandarin and english, and can even handle both at the same time. like if your speaking mandarin and switch to english for a word or a few sentences or whatever, it picks up on that and it actually works p good
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